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classification_test_27Dec
am-infoweb/classification_test_27Dec
classification_test_27Dec is a text classification model from am-infoweb. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- longformer
- Access
- Public
- Created
- Dec 27, 2023
- Updated
- Dec 27, 2023
- SHA
- 03f97387
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
classification_test_14Dec
This model is a fine-tuned version of allenai/longformer-base-4096 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3279
- Accuracy: 0.9493
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4495 | 1.0 | 5293 | 0.6105 | 0.8841 |
| 0.2916 | 2.0 | 10586 | 0.4680 | 0.9294 |
| 0.3098 | 3.0 | 15879 | 0.4065 | 0.9419 |
| 0.2335 | 4.0 | 21172 | 0.3796 | 0.9430 |
| 0.1565 | 5.0 | 26465 | 0.3467 | 0.9428 |
| 0.1886 | 6.0 | 31758 | 0.3174 | 0.9487 |
| 0.1042 | 7.0 | 37051 | 0.3279 | 0.9493 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- longformer
- License
- apache-2.0
- Created
- Dec 27, 2023
- Updated
- Dec 27, 2023